Search ga_ls7e_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. to (exclusive):

Time when dataset was created (processed) From

Time when dataset was created (processed) to (exclusive)

The raw CRS string as it appears in metadata:

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. from:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm to (exclusive):

File format (GeoTiff, NetCDF):

GQA Circular error probable (90%) from:

GQA Circular error probable (90%) to (exclusive):

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Dataset UUID:

User who indexed the dataset:

When dataset was indexed:

Label:

A Landsat Collection 1 Level-1 product identifier including the Collection processing levels, processing date, collection number, and collection tier category (e.g. ‘LE07_L1TP_098084_20210307_20210308_02_RT’) :

A Landsat scene ID including WRS path and row, year and day, ground station identifier and archive version number (e.g. ‘LC80900852021066LGN00’) :

Latitude range from:

Latitude range to (exclusive):

Longitude range from:

Longitude range to (exclusive):

Full metadata document:

Metadata type name of dataset:

ID of a metadata type:

Spatial reference code from the provider. For Landsat region_code is a scene path row: '{:03d}{:03d}.format(path,row)' For Sentinel it is MGRS code. In general it is a unique string identifier that datasets covering roughly the same spatial region share. :

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

51 results

Time (local)	Label
2000-01-02 10:45:36	ga_ls7e_ard_3-0-0_106068_2000-01-02_final
2000-08-09 09:36:04	ga_ls7e_ard_3-1-0_094084_2000-08-09_final
2002-01-14 10:50:56	ga_ls7e_ard_3-0-0_107076_2002-01-14_final
2003-08-29 10:52:31	ga_ls7e_ard_3-0-0_107081_2003-08-29_final
2004-01-09 09:27:09	ga_ls7e_ard_3-1-0_094067_2004-01-08_final
2004-01-13 10:44:30	ga_ls7e_ard_3-1-0_106075_2004-01-13_final
2004-04-07 11:02:58	ga_ls7e_ard_3-0-0_109074_2004-04-07_final
2004-04-25 10:53:17	ga_ls7e_ard_3-0-0_107081_2004-04-25_final
2004-09-16 10:52:47	ga_ls7e_ard_3-0-0_107081_2004-09-16_final
2005-01-22 10:53:33	ga_ls7e_ard_3-0-0_107081_2005-01-22_final
2005-02-06 10:09:13	ga_ls7e_ard_3-0-0_100078_2005-02-06_final
2005-03-20 10:45:17	ga_ls7e_ard_3-1-0_106075_2005-03-20_final
2005-04-21 10:45:07	ga_ls7e_ard_3-1-0_106075_2005-04-21_final
2005-05-30 10:53:43	ga_ls7e_ard_3-0-0_107081_2005-05-30_final
2005-12-13 09:27:51	ga_ls7e_ard_3-1-0_094067_2005-12-12_final
2006-06-25 09:24:35	ga_ls7e_ard_3-0-0_092089_2006-06-24_final
2006-06-26 10:03:27	ga_ls7e_ard_3-0-0_099078_2006-06-26_final
2006-11-14 09:28:09	ga_ls7e_ard_3-1-0_094067_2006-11-13_final
2007-02-05 11:42:22	ga_ls7e_ard_3-1-0_115077_2007-02-05_final
2007-05-03 10:09:45	ga_ls7e_ard_3-0-0_100077_2007-05-03_final
2007-09-09 10:51:37	ga_ls7e_ard_3-0-0_107075_2007-09-09_final
2008-04-03 10:09:27	ga_ls7e_ard_3-0-0_100077_2008-04-03_final
2008-05-06 10:51:48	ga_ls7e_ard_3-0-0_107075_2008-05-06_final
2008-11-15 11:36:34	ga_ls7e_ard_3-0-0_114081_2008-11-15_final
2009-02-23 09:28:13	ga_ls7e_ard_3-1-0_094067_2009-02-22_final
2009-03-29 10:58:36	ga_ls7e_ard_3-0-0_108076_2009-03-29_final
2009-09-13 10:09:28	ga_ls7e_ard_3-0-0_100077_2009-09-13_final
2009-10-03 11:26:22	ga_ls7e_ard_3-1-0_112084_2009-10-03_final
2010-01-28 10:05:13	ga_ls7e_ard_3-0-0_099078_2010-01-28_final
2010-03-27 09:07:06	ga_ls7e_ard_3-0-0_089086_2010-03-26_final
2010-10-19 09:21:17	ga_ls7e_ard_3-0-0_091090_2010-10-18_final
2011-01-24 09:57:06	ga_ls7e_ard_3-0-0_098069_2011-01-24_final
2011-05-23 10:09:05	ga_ls7e_ard_3-0-0_099083_2011-05-23_final
2013-08-13 09:33:29	ga_ls7e_ard_3-1-0_094067_2013-08-13_final
2013-12-06 11:49:09	ga_ls7e_ard_3-0-0_115079_2013-12-06_final
2015-11-19 11:42:36	ga_ls7e_ard_3-0-0_114067_2015-11-19_final
2016-10-10 09:37:00	ga_ls7e_ard_3-0-0_092088_2016-10-10_final
2017-01-28 09:40:15	ga_ls7e_ard_3-1-0_094067_2017-01-28_final
2017-02-15 11:09:30	ga_ls7e_ard_3-0-0_108074_2017-02-15_final
2017-06-30 09:37:53	ga_ls7e_ard_3-0-0_093075_2017-06-30_final
2017-10-11 09:40:51	ga_ls7e_ard_3-1-0_094067_2017-10-11_final
2018-02-19 10:15:00	ga_ls7e_ard_3-0-0_099078_2018-02-19_final
2018-03-17 10:48:11	ga_ls7e_ard_3-0-0_105069_2018-03-17_final
2019-03-07 09:31:27	ga_ls7e_ard_3-1-0_094067_2019-03-07_final
2019-12-20 11:02:13	ga_ls7e_ard_3-1-0_110076_2019-12-20_final
2020-01-05 09:18:55	ga_ls7e_ard_3-1-0_094067_2020-01-04_final
2020-03-29 10:31:53	ga_ls7e_ard_3-1-0_106075_2020-03-29_final
2020-11-01 10:15:03	ga_ls7e_ard_3-1-0_105082_2020-11-01_final
2020-11-07 09:35:58	ga_ls7e_ard_3-1-0_099078_2020-11-07_final
2021-05-12 09:58:04	ga_ls7e_ard_3-2-0_105076_2021-05-12_final
2021-05-31 08:52:51	ga_ls7e_ard_3-2-0_094087_2021-05-30_final

Return to ga_ls7e_ard_3 whole collection overview

ga_ls7e_ard_3: Geoscience Australia Landsat 7 Enhanced Thematic Mapper Plus Analysis Ready Data Collection 3

Baseline satellite data

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years